About Me
Hi I am Akanksha Joshi 
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I leverage over three years of immersive experience in the AI industry. I recently completed my M.S in AI at San Jose State University and started working as a Machine Learning Engineer at Cisco. With a track record of authoring three research papers, winning hackathons, and achieving Kaggle Competition Expert status, I bring a unique blend of academic rigor and hands-on expertise. I specialize in constructing scalable end-to-end ML pipelines, excelling in problem-solving across computer vision and NLP in diverse industries. I optimize models for performance, scalability, and real-time predictions.
Programming
Python
100%
PyTorch
95%
TensorFlow
85%
NLP
LLM
95%
RAG
95%
LangChain
95%
Computer Vision
Object Detection
100%
Instance Segmentation
95%
Image Generation
90%
MS in AI, San Jose State University
Aug 2022 — May 2024
Courses - AI and Data Engineering, Data Mining, Machine Learning, Deep Learning, NLP, Recommendation System, Math Foundations for Decision and Data Science.
Research Assistant - Dr. Gheorghi Guzun
Apr 2023 - Apr 2024
- Working on building a novel data structure that can store sparse vectors in deep neural networks in a compressed and quantized manner leading to faster model training.
- Data structure built using C++, and we are creating a library/extension of the same in PyTorch for open-source access.
Sr. Machine Learning Engineer, Quantiphi Analytics
2021 — 2022
- Spearheaded the development and deployment of a cutting-edge ML pipeline for blood cell abnormality detection on the Google Cloud Platform.
- Led the development of a call log insight generation tool, employing hierarchical clustering for topic modeling and multi-intent identification.
Machine Learning Engineer, Quantiphi Analytics
2019 — 2021
- My daily activities were centered around pivotal tasks such as data acquisition and preprocessing, orchestrating and conducting model experiments, refining model performance through iterative optimization, and presenting technically adept insights and code elucidations to clients.
- Leveraging computer vision and natural language processing (NLP) techniques, I engineered scalable pipelines that integrated seamlessly into existing infrastructures, with rigorous testing protocols ensuring robustness and reliability.
- This multifaceted role demanded a blend of technical expertise, creative problem-solving skills, and effective communication to ensure the successful development and deployment of machine learning solutions across diverse domains.